A New Model Selection Approach to Hybrid Kernel-Based Estimation. - Anna Scampicchio; Gianluigi Pillonetto (CDC, 2018)

Bayesian Kernel-Based Linear Control Design. - Anna Scampicchio; Alessandro Chiuso; Simone Formentin; Gianluigi Pillonetto (CDC, 2019)

A convex approach to robust LQR. - Anna Scampicchio; Gianluigi Pillonetto (CDC, 2020)

Bayesian multi-task learning using finite-dimensional models: A comparative study. - Elena Arcari; Anna Scampicchio; Andrea Carron; Melanie N. Zeilinger (CDC, 2021)

Stable and robust LQR design via scenario approach. - Anna Scampicchio; Aleksandr Y. Aravkin; Gianluigi Pillonetto (Autom., 2021)

An update-and-design scheme for scenario-based LQR synthesis. - Anna Scampicchio; Andrea Iannelli (ACC, 2022)

Bayesian frequentist bounds for machine learning and system identification. - Giacomo Baggio; Algo Carè; Anna Scampicchio; Gianluigi Pillonetto (Autom., 2022)

Sample Complexity and Minimax Properties of Exponentially Stable Regularized Estimators. - Gianluigi Pillonetto; Anna Scampicchio (IEEE Trans. Autom. Control., 2022)

On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics. - Enea Monzio Compagnoni; Anna Scampicchio; Luca Biggio; Antonio Orvieto; Thomas Hofmann 001; Josef Teichmann (IJCNN, 2023)

Error Analysis of Regularized Trigonometric Linear Regression With Unbounded Sampling: A Statistical Learning Viewpoint. - Anna Scampicchio; Elena Arcari; Melanie N. Zeilinger (IEEE Control. Syst. Lett., 2023)

Kernel-based learning of orthogonal functions. - Anna Scampicchio; Mauro Bisiacco; Gianluigi Pillonetto (Neurocomputing, 2023)

Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation. - Elena Arcari; Maria Vittoria Minniti; Anna Scampicchio; Andrea Carron; Farbod Farshidian; Marco Hutter 001; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 2023)

Inverse optimal control as an errors-in-variables problem. - Rahel Rickenbach; Anna Scampicchio; Melanie N. Zeilinger (L4DC, 2024)

Data-driven control of input-affine systems: the role of the signature transform. - Anna Scampicchio; Melanie N. Zeilinger (CoRR, 2024)

Active Learning-Based Model Predictive Coverage Control. - Rahel Rickenbach; Johannes Köhler 001; Anna Scampicchio; Melanie N. Zeilinger; Andrea Carron (IEEE Trans. Autom. Control., 2024)

Gaussian processes for dynamics learning in model predictive control. - Anna Scampicchio; Elena Arcari; Amon Lahr; Melanie N. Zeilinger (CoRR, 2025)

Optimal kernel regression bounds under energy-bounded noise. - Amon Lahr; Johannes Köhler 001; Anna Scampicchio; Melanie N. Zeilinger (CoRR, 2025)